code: def afx_unscale_relative():
      hparams = afx_unscale()
      hparams.optimizer_adafactor_multiply_by_parameter_scale = True
      hparams.learning_rate_schedule = "rsqrt_decay"
      hparams.learning_rate_warmup_steps = 10000
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import registry
label_desc: Use image node_id 16 for calling a global function with example usage: afx_unscale_relative() and returns: hparams